This paper presents API-MalDetect, a new deep learning-based automated framework for detecting malware attacks in Windows systems. The framework uses an NLP-based encoder …
M Mohammadi, I Sohn - ICT Express, 2023 - Elsevier
Energy Harvesting (EH) as a power source plays a critical role in the advent of new technologies such as the Internet of Things (IoT). But, by providing power within the …
Given their escalating number and variety, combating malware is becoming increasingly strenuous. Machine learning techniques are often used in the literature to automatically …
Malware is one of the most common and severe cyber threats today. Malware infects millions of devices and can perform several malicious activities including compromising …
T Sasi, AH Lashkari, R Lu, P Xiong, S Iqbal - Journal of Information and …, 2023 - Elsevier
Abstract The Internet of Things (IoT) has set the way for the continuing digitalization of society in various manners during the past decade. The IoT is a vast network of intelligent …
The use of malware samples is usually required to test cyber security solutions. For that, the correct typology of the samples is of interest to properly estimate the exhibited performance …
Blockchain represents a new promising technology with a huge economic impact resulting from its uses in various fields such as digital currency and banking; malware represents a …
The Internet of Things (IoT) constitutes the foundation of a deeply interconnected society in which objects communicate through the Internet. This innovation, coupled with 5G and …
Currently, enhancing the efficiency of vulnerability detection and assessment remains relevant. We investigate a new approach for the detection of vulnerabilities that can be used …